Under VTU, Approved by AICTE, UGC & GoK. Reaccredited by NAAC with 'A+' Grade, ISO 9001:2015 Certified. Accredited by HLACT, Texas, USA (Internationally) and by NBA (CSE, ECE, ISE)

Publication

Publication of Dr. Subburaj T

Publications
• T.Subburaj et al,A Stacked Deep Neural Network for Cancer Classification and Ensemble Gene Selection Approach, Artificial Intelligence, Cybersecurity and Game Design, Springer Proceedings in Mathematics & Statistics 1, https://doi.org/10.1007/978-981-95-6746-1_9
• T.Subburaj et al,Financial Transaction System Security in Blockchain, Lecture Notes in Networks and Systems ((LNNS,volume 1232)),vol 1232. Springer, Cham. https://doi.org/10.1007/978-3-031-78949-6_36
• T.Subburaj et al,Pneumonia Detection enhancement Though Diverse Deep Learning Approaches, Fifth Congress on Intelligent Systems (pp.243-259),May2025 DOI:10.1007/978-981-96-2703-5_16
• T. Subburaj et al., Enhancing Electricity Theft Detection and Loss Prediction in Metro Cites Using Hybrid Machine Learning Model, 2024 Eighth International Conference on Parallel, Distributed and Grid Computing (PDGC),Print on Demand (PoD) ISBN: 979-8-3315-2135-6, DOI: https://doi.org/10.1109/PDGC64653.2024.10984168
• T. Subburaj et al.,Effective Bandwidth based Distributed DoS Attack Detection and Source Identification using Maximum Flow Techniques, Proceedings of the Third International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT-2025) ,IEEE Xplore Part Number: CFP25CV1-ART; ISBN: 979-8-3315-2754-9, PP:406-412 DOI: 10.1109/IDCIOT64235.2025.10914696
• T. Subburaj et al., Biometric Authentication with Blockchain: A Secure and User-Friendly Approach, Intelligent Systems and Sustainable Computing, Smart Innovation, Systems and Technologies, Springer Nature Singapore Pte Ltd. 2025. PP: 513-522. https://doi.org/10.1007/978-981-97-8355-7_44
• Subburaj et al, Adversarial Robustness in Neural Networks: An AI-Powered Approach to Enhancing Security, Nanotechnology Perceptions, 20 No. S12 (2024) 1496-1502 ISSN 1660-6795. DOI : https://doi.org/10.62441/nano-ntp.vi.4841
• Subburaj et al, Diffusion Models in Deep Learning: Applications and advantages over traditional generative models, Musik in Bayern ISSN: 0937-583x Volume 89, Issue 12 (December -2024) (Web of Science) https://musikinbayern.com DOI : https://doi.org/10.15463/gfbm-mib-2024-361
• T. Subburaj et al, Motion Vision IQ using ML, International Journal of Innovative Research in Science, Engineering and Technology, Volume 13, Issue 8, August 2024. DOI: 10.15680/IJIRSET.2024.1308110
• T. Subburaj et al, Multipurpose Drone Ship using IOT, International Journal of Innovative Research in Science, Engineering and Technology, Volume 13, Issue 8, August 2024. DOI: 10.15680/IJIRSET.2024.1308111
• T. Subburaj et al, Next Evolution in Artificial Intelligence, International Journal of Innovative Research in Science, Engineering and Technology, Volume 13, Issue 8, August 2024. DOI: 10.15680/IJIRSET.2024.1308120
• T. Subburaj et al, Real Time Polling and Voting System using Django, International Journal of Innovative Research in Science, Engineering and Technology, Volume 13, Issue 8, August 2024. DOI: 10.15680/IJIRSET.2024.1308129
• T. Subburaj et al, Shoppyco- An Modern Android Application for Seamless Shopping Experience, International Journal of Innovative Research in Science, Engineering and Technology, Volume 13, Issue 8, August 2024. DOI: 10.15680/IJIRSET.2024.1308172
• T. Subburaj et al, Detection of UPI Fake Payments using ML, International Journal of Multidisciplinary Research in Science, Engineering and Technology, Volume 7, Issue 8, August 2024. DOI: 10.15680/IJMRSET.2024.0708032
• T. Subburaj et al, Agritech: Cyborg Agriculture Farming using IOT, International Journal of Multidisciplinary Research in Science, Engineering and Technology, Volume 7, Issue 8, August 2024. DOI: 10.15680/IJMRSET.2024.0708034
• T. Subburaj et al, All In One Plus an Ultimate Integration, International Journal of Multidisciplinary Research in Science, Engineering and Technology, Volume 7, Issue 8, August 2024. DOI: 10.15680/IJMRSET.2024.0708035
• T. Subburaj et al, Bug Shield Notify Lab using Django, International Journal of Multidisciplinary Research in Science, Engineering and Technology, Volume 7, Issue 8, August 2024. DOI: 10.15680/IJMRSET.2024.0708036
• T. Subburaj et al, Detection of Fraud Information using ML, International Journal of Multidisciplinary Research in Science, Engineering and Technology, Volume 7, Issue 8, August 2024. DOI: 10.15680/IJMRSET.2024.0708039
• T. Subburaj et al, Air Warden: Innovative IOT Aerosol Surveillance and Alert System, International Journal of Multidisciplinary Research in Science, Engineering and Technology, Volume 7, Issue 8, August 2024. DOI: 10.15680/IJMRSET.2024.0708068
• T. Subburaj et al, Virtual EduConnnect using Angular JS, International Journal of Innovative Research in Computer and Communication Engineering, Volume 12, Issue 8, August 2024. DOI: 10.15680/IJIRCCE.2024.1208056
• T. Subburaj et al, Watchful AI-Enhanced People Monitoring and Tracking Framework Using ML, International Journal of Innovative Research in Computer and Communication Engineering, Volume 12, Issue 8, August 2024. DOI: 10.15680/IJIRCCE.2024.1208058
• T. Subburaj et al, “Ransomware Classification and Detection: A Supervised Machine Learning Approach”, International Conference on Computer & Communication Technologies, P: 253-266, Springer.
• T. Subburaj et al, “ Internet of Things Assisted Automated Ransomware Recognition using Harmony Search Algorithm with Deep Learning” , IEEE, 10.1109/ICSCNA58489.2023.10370175, 2024.
• T. Subburaj. et.al , “Network Anomaly Detection using Random Forest Classifier , Information and Knowledge Systems” , Book chapter 4, Nova Publications, December 2023 Series: Computer Science, Technology and Applications.BISAC: COM014000; COM094000; COM032000
DOI: https://doi.org/10.52305/XUNI4482
• T. Subburaj. et.al , Live Count and Detect Human Using Machine Learning ,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj. et.al , Live Count and Detect Human Using Machine Learning ,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj. et.al , Evaluation of the Quality of Water Considering SVM and the XGBoost Technique,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj. et.al , Bird Book Using Django,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj. et.al , Real-Time Passenger Train Delay Prediction Using Machine Learning: A Case Study with Amtrak Passenger Train Routes,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj. et.al , Applying Machine Learning for Identifying Fraud Sites,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj. et.al , Price Part for Used Suvs,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj. et.al , Heart Disease Detection with Data Analytics and Machine Learning,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj. et.al , Peering into the Rain‟s Crystal Ball: Predicting Precipitation with Precision,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj. et.al , Thyroid Disease Prediction with Features Selection and Meta- Classifiers,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj. et.al , Hospital and Doctor Recommendation with Disease Prediction Using Machine Learning,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj. et.al , Online Bullying Detection using Machine Learning and Deep Learning,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj. et.al , Fake Job Post Prediction,International Journal of Arts, Science and Humanities Vol. 11 Special Issue 1 July, 2023 Impact Factor: 3.025,P-ISSN: 2321-788X E-ISSN: 2582-0397
• T. Subburaj et al, “Ransomware Classification and Detection: A Supervised Machine Learning Approach”, International Conference on Computer & Communication Technologies, P: 253-266, Springer.
• T. Subburaj et al, “ Internet of Things Assisted Automated Ransomware Recognition using Harmony Search Algorithm with Deep Learning” , IEEE, 10.1109/ICSCNA58489.2023.10370175, 2024.
• T. Subburaj. et.al , “Network Anomaly Detection using Random Forest Classifier , Information and Knowledge Systems” , Book chapter 4, Nova Publications, December 2023 Series: Computer Science, Technology and Applications.BISAC: COM014000; COM094000; COM032000
DOI: https://doi.org/10.52305/XUNI4482
• T. Subburaj. et.al , “An Advanced Analysis of Disease Prediction and Prevention Using Machine Learning”, IEEE, DOI: 10.1109/ICCCMLA58983.2023.10346737
• T. Subburaj et, al, An IOT Application for Milltary Camp Security, European Chemical Bulletin.
• T. Subburaj.et.al, “Discover Cryptojacker from blockchain using AFS method”, Springer, 2023. Proceedings of Fourth International Conference on Computer and Communication Technologies, Lecture Notes in Networks and Systems book series, 145-156, (Mar 2023)
• T. Subburaj. et.al, Statistical Evaluation of Network Packets in an Intrusion Detection Mechanism Using ML and DL techniques, Cybernetics and Systems, DOI: 10.1080/01969722.2023.2175137 Impact Factor: 1.859
• T. Subburaj. et.al , “Descriptive analytics Solution for Attack Detection by utilizing Deep Learning Strategies” , IEEE Digital Explore , Electronic ISBN:978-1-6654-6047-7 Print on Demand (PoD) ISBN: 978-1-6654-6048-4 DOI: 10.1109/STCR55312.2022.10009596
• K. Suthendran and T. Subburaj, “SMART CARAFE: An IoT-Based Real Time System”, Distributed Technologies for Big Data and Cloud Applications, V 904, Lecture Notes in Electrical Engineering, ISBN: 978-981-19-2176-6, Springer. pp 621–631,2022 DOI: 10.1007/978-981-19-2177-3_58 (Scopus)
• T. Subburaj et.al, “Performance Enhancement of three phase boost cascaded fifteen level inverter using PI Controller”, Mathematical Problems in Engineering, Volume 2022, and Article ID: 3888571, pp.1-17, Hindawi. Impact Factor 1.3. DOI: 10.1155/2022/3888571 (SCI)
• T. Subburaj and K. Suthendran, “Threat detection on UDP Protocols using Packet rates in IoT”, Machine Intelligence and smart systems, pp: 675 – 682, Springer. (Scopus)
• T. Subburaj and K. Suthendran, “Detection and Trace back of Low and High Volume of DDoS attack based on Statistical Measures”, Concurrency and Computation: Practice and Experience, Wiley Publications, (Impact Factor: 1.114.), DOI: 10.1002/cpe.5428.
• T. Subburaj, K. Suthendran and S. Arumugam, “Statistical Approach to Trace the Source of Attack Based on the Variability in Data Flows”, ICTCSDM 2016, Lecture Notes in Computer Science, LNCS 10398, Springer, pp-392-400, 2017. (Scopus Indexed).
• T. Subburaj and K. Suthendran,“ Detection and Trace Back of DDoS Attack Based on Statistical Approach”, Journal of Advanced Research in Dynamical and Control Systems, 13-Special Issue, pp-66-74, 2017. (Scopus Indexed).
• T. Subburaj and K. Suthendran, “Watering hole attack detects and discovers the source address using the sequential pattern”, Journal of Cyber security and Mobility, 7(1), 1-12, 2018. (Scopus Indexed).
• T. Subburaj and K. Suthendran, “Chi-Square and Entropy (CS-E): A Hybrid Method for DDoS attack detection and Trace back”, International Journal of Recent Technology and Engineering, ISSN: 2277-3878, 8(4S2), pp- 534-541, 2019. B Impact Factor: 5.92.
• T. Subburaj and K. Suthendran, “Bit and Piece DDoS attack detection and Trace back”, International Journal of Engineering and Advanced Technology, ISSN: 2249-8958, 9(1S4), pp-48-55, 2019. B Impact Factor: 5.97.

Patent Publications:
Title of the invention:
SELF-HEALING ROBOTIC NETWORKS WITH AI-ORCHESTRATED REPAIR MECHANISMS
Patent Number: 202441104960
Patent by: Indian Government

Title of the invention:
Healthcare Management Using Smart & NBSP; Glasses with Adaptive Lenses
Patent Number: 202441054891
Patent by: Indian Government

Title of the invention:
IoT Enabled Intelligent Waste Management System
Patent Number: 202441050515
Patent by: Indian Government

Title of the invention:
Traffic Control Barrier
Patent Number: 6351543
Patent by: UK Government

Title of the invention:
Machine Learning and Artificial Intelligence based Credit Card Fraud Detection System
Patent Number: 202321077169
Patent by: Indian Government

Title of the invention:
Deep Learning Analytical Monitoring of IoT based smart vehicles to avoid cyber attacks
Patent Number: 202341021861
Patent by: Indian Government

Title of the invention:
Prediction of Intelligent level (IQ) of Children Below the normal level results in retardation using AI & ML Techniques
Patent Number: 202341008048
Patent by: Indian Government

Title of the invention:
Intrusion Detection System Analytical Approach using Big Data with Deep learning Techniques
Patent Number: 202241016914
Patent by: Indian Government

Title of the invention:
Employing of SOC Tracker for Rescuing and supervising a child in case of emergencies
Patent Number: 202241012972
Patent by: Indian Government

Title of the invention:
Dry land Agriculture and Yield Gap Analysis by Machine Learning Algorithms Using IoT Sensors
Patent Number: 2021104029
Patent by: Australian Government

Title of the invention:
Trustworthy Electronic Voting using Adjusted Block Chain Technology
Patent Number: 202141035793 A
Patent by: Indian Government